Data Analytics & Visual Computing

Data analytics and visual computing help to filter useful information out of huge volumes of complex data. Researchers in the data analytics focus area use automated data analysis methods from the fields of machine learning, artificial intelligence, data science and statistics in order to process data. Visual computing research is centred on generating and processing visual information.

The increasing quantity of readily available data is opening up numerous opportunities to enhance technological advances and commercial success in various fields. But data collection and storage are developing more rapidly than our ability to analyse that data and use it to support decision making. The data analytics and visual computing research focus provides support in teasing meaningful information out of large quantities of data.

Data visualisation is about transforming numbers and images. It makes complex information more accessible to users, opening up new insights and promoting increases in knowledge. Visual analytics overcomes the related challenges by combining visual perception and human judgement with the strengths of automated, IT-based data analysis. Research into computer vision is focused on obtaining information from image and video data, and automating people’s visual capabilities.